Publications by authors named "J De Barry"
Background: Current research on the transmission of trauma and eating disorders across generations is limited. However, quantitative studies suggest that the influence of parents' and grandparents' eating disorders and their prior exposure to trauma are associated with the development of eating disorders in future generations. Qualitative research exploring personal accounts of the impact of transgenerational trauma on the development of eating disorders has been largely unexplored.
View Article and Find Full Text PDFPulsed Field Ablation (PFA) is a new ablation method being rapidly adopted for treatment of atrial fibrillation, which shows advantages in safety and efficiency over radiofrequency and cryo-ablation. In this study, we used an in vivo swine model (10 healthy and 5 with chronic myocardial infarct) for ventricular PFA, collecting intracardiac electrograms, electro-anatomical maps, native T1-weighted and late gadolinium enhancement MRI, gross pathology, and histology. We used 1000-1500 V pulses, with 1-16 pulse trains to vary PFA dose.
View Article and Find Full Text PDFBackground: The majority of thyroid nodules are benign; however current guidelines suggest that thyroid incidentalomas should be appropriately evaluated to rule out malignancy.
Aims: This study aims to determine the incidence of thyroid incidentalomas and the likelihood that they harbour sinister pathology in the largest Irish cohort studied to-date.
Methods: A retrospective observational chart review was conducted using data from July 2018 to December 2018 using the Radiology Database in use at Cork University Hospital.
Objective: We aimed to quantify and predict lacosamide exposure during pregnancy by developing a pregnancy physiologically-based pharmacokinetic model, allowing the prediction of potential dose increases to support maintaining a patient's preconception lacosamide concentrations.
Methods: Models for nonpregnant adults and pregnant female patients were constructed using physiochemical and pharmacological parameters identified from literature review. Evaluation of plasma concentration data from human males was digitized from the literature.
Article Synopsis
- Artificial intelligence (AI) is increasingly being used in healthcare, particularly in neonatal intensive care units (NICUs), where large data sets can improve the diagnosis and treatment of conditions like sepsis and bronchopulmonary dysplasia.
- The article discusses various machine learning (ML) models, their development process, and the need for a standardized framework to evaluate their performance in clinical settings, emphasizing how this understanding is key for effective implementation.
- Challenges such as ensuring model generalizability, ethical issues, and the importance of regular performance monitoring are highlighted, along with future directions calling for collaboration and equitable access to AI technologies in healthcare.